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slic/tests/test_param.py
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Update tests/test_param.py
2025-07-20 23:07:22 +02:00

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Python

import pytest
# Parameters with id
@pytest.mark.parametrize("x", [
pytest.param(1, id="one"),
pytest.param(2, id="two")
])
def test_basic_ids(x):
pass
# One test will pass, the other be skipped because of the mark content
@pytest.mark.parametrize("x", [
pytest.param(10, id="ten"),
pytest.param(20, marks=pytest.mark.skip(reason="nope"), id="twenty"),
])
def test_with_reason_and_marks(x):
pass
# Parametrize with many arguments
@pytest.mark.parametrize("a, b", [
pytest.param(1, 2, id="1-2"),
pytest.param(3, 4, id="3-4"),
])
def test_multiple_positional_args(a, b):
pass
# Not assessable argument : object
@pytest.mark.parametrize("data", [
pytest.param(object(), id="custom-obj"),
])
def test_non_literal_with_id(data):
pass
# Parameters parametrize passed indirectly
from datetime import datetime, timedelta
testdata = [
(datetime(2001, 12, 12), datetime(2001, 12, 11), timedelta(1)),
(datetime(2001, 12, 11), datetime(2001, 12, 12), timedelta(-1)),
]
@pytest.mark.parametrize("a,b,expected", testdata)
def test_timedistance_v1(a, b, expected):
diff = a - b
assert diff == expected
# Dynamically generates test cases using scenarios
scenarios = [
("one", {"x": 1, "y": 2}),
("two", {"x": 3, "y": 4}),
("edge", {"x": -1, "y": -1}),
]
def pytest_generate_tests(metafunc):
if hasattr(metafunc.cls, "scenarios"):
ids = []
argnames = []
argvalues = []
for name, param_dict in metafunc.cls.scenarios:
ids.append(name)
if not argnames:
argnames = list(param_dict.keys())
argvalues.append([param_dict[k] for k in argnames])
metafunc.parametrize(argnames, argvalues, ids=ids)
class TestDynamic:
scenarios = scenarios
def test_sum_positive(self, x, y):
assert (x + y) >= 0
# Uses metafunc.parametrize to dynamically parameterize
def pytest_generate_tests(metafunc):
if "val" in metafunc.fixturenames:
metafunc.parametrize("val", [10, 20, 30], ids=["ten", "twenty", "thirty"])
def test_dynamic(val):
assert val % 10 == 0
# Use of pytest.fixture to parametrize the test
@pytest.fixture(params=["fire", "water", "earth"], ids=["🔥", "💧", "🌍"])
def element(request):
return request.param
def test_element_type(element):
assert isinstance(element, str)
# Parametrize test with two parametrize set of values
@pytest.mark.parametrize("x", [1, 2])
@pytest.mark.parametrize("y", ["a", "b"])
def test_combination(x, y):
assert isinstance(y, str)
# Defines a fixture `complex_setup` to parametrize the test with dynamic values
@pytest.fixture
def complex_setup(request):
val = request.param
return val * 2
@pytest.mark.parametrize("complex_setup", [1, 2], indirect=True)
def test_indirect_fixture(complex_setup):
assert complex_setup in [2, 4]
# Parameters in function arguments
def test_addition(a = 5, b = 5, expected = 10):
# Has to pass
assert addition(a, b) == expected